Machine Learning Analysis of Liposome Stability in Polyol–Tween 85 Surfactant Systems

Min Kyung Kang, Hee Charn Lee, Jeong Seon Hwang, Jin-Chul Kim

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DOI: 10.2174/0113816128508363260804070643
Published: 2026-08-11
Container: Current Pharmaceutical Design
Publisher: Bentham Science Publishers Ltd.
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2174/0113816128508363260804070643,
  title = {Machine Learning Analysis of Liposome Stability in Polyol–Tween 85 Surfactant
Systems},
  author = {Min Kyung Kang and Hee Charn Lee and Jeong Seon Hwang and Jin-Chul Kim},
  year = {2026},
  journal = {Current Pharmaceutical Design},
  doi = {10.2174/0113816128508363260804070643},
  url = {https://doi.org/10.2174/0113816128508363260804070643}
}

RIS

TY  - JOUR
TI  - Machine Learning Analysis of Liposome Stability in Polyol–Tween 85 Surfactant
Systems
AU  - Min Kyung Kang
AU  - Hee Charn Lee
AU  - Jeong Seon Hwang
AU  - Jin-Chul Kim
PY  - 2026
JO  - Current Pharmaceutical Design
DO  - 10.2174/0113816128508363260804070643
UR  - https://doi.org/10.2174/0113816128508363260804070643
ER  -

APA

Kang, M. K., Lee, H. C., Hwang, J. S., & Kim, J. (2026). Machine Learning Analysis of Liposome Stability in Polyol–Tween 85 Surfactant Systems. Current Pharmaceutical Design. https://doi.org/10.2174/0113816128508363260804070643

Source records

crossref · retrieved 2026-09-27T05:07:49.686Z